Fr. 189.00

Structural Analysis of Composite Wind Turbine Blades - Nonlinear Mechanics and Finite Element Models with Material Damping

English · Paperback / Softback

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Description

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This book concerns the development of novel finite elements for the structural analysis of composite beams and blades. The introduction of material damping is also an important aspect of composite structures and it is presented here in terms of their static and dynamic behavior. The book thoroughly presents a new shear beam finite element, which entails new blade section mechanics, capable of predicting structural blade coupling due to composite coupling and/or internal section geometry. Theoretical background is further expanded towards the inclusion of nonlinear structural blade models and damping mechanics for composite structures. The models effectively include geometrically nonlinear terms due to large displacements and rotations, improve the modeling accuracy of very large flexible blades, and enable the modeling of rotational stiffening and buckling, as well as, nonlinear structural coupling. Validation simulations on specimen level study the geometric nonlinearities effect on the modal frequencies and damping values of composite strips of various angle-ply laminations under either tensile or buckling loading. A series of correlation cases between numerical predictions and experimental measurements give credence to the developed nonlinear beam finite element models and underline the essential role of new nonlinear damping and stiffness terms.

List of contents

From the Contents: Historical Review on the Linear and Nonlinear Damped Structural Behavior of Composite Structures.- Linear Material Coupling Effect on Structural Damping of Composite Beams and Blades.- Nonlinear Damping Mechanics and Finite Element Model for the Static and Damped Free-Vibration Analysis of Composite Strips.- Nonlinear Dynamic Response of Composite Plate-Beams.- Prediction of Nonlinear Damped Response of Large-Scale Blade Composite Structures.

Summary

This book concerns the development of novel finite elements for the structural analysis of composite beams and blades. The introduction of material damping is also an important aspect of composite structures and it is presented here in terms of their static and dynamic behavior. The book thoroughly presents a new shear beam finite element, which entails new blade section mechanics, capable of predicting structural blade coupling due to composite coupling and/or internal section geometry. Theoretical background is further expanded towards the inclusion of nonlinear structural blade models and damping mechanics for composite structures. The models effectively include geometrically nonlinear terms due to large displacements and rotations, improve the modeling accuracy of very large flexible blades, and enable the modeling of rotational stiffening and buckling, as well as, nonlinear structural coupling. Validation simulations on specimen level study the geometric nonlinearities effect on the modal frequencies and damping values of composite strips of various angle-ply laminations under either tensile or buckling loading. A series of correlation cases between numerical predictions and experimental measurements give credence to the developed nonlinear beam finite element models and underline the essential role of new nonlinear damping and stiffness terms.

Product details

Authors Dimitris I Chortis
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 01.01.2015
 
EAN 9783319033716
ISBN 978-3-31-903371-6
No. of pages 235
Dimensions 154 mm x 234 mm x 13 mm
Weight 391 g
Illustrations XIII, 235 p.
Series Research Topics in Wind Energy
Research Topics in Wind Energy
Subjects Natural sciences, medicine, IT, technology > Technology > Heat, energy and power station engineering

B, Renewable Energy, engineering, complexity, Renewable and Green Energy, Renewable energy resources, Alternative & renewable energy sources & technology, Cybernetics & systems theory, Applied Dynamical Systems, Computational complexity

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